


import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
__UpperCamelCase     		=							[
    'kernels/rwkv/wkv_cuda.cu',
    'kernels/rwkv/wkv_op.cpp',
    'kernels/deformable_detr/ms_deform_attn.h',
    'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
    'models/graphormer/algos_graphormer.pyx',
]
def 							UpperCamelCase_(					_A :List[Any]	)->		Dict:
			# Test all the extensions added in the setup
			for file in FILES_TO_FIND:
						if not (transformers_path / file).exists():
									return False
			return True


if __name__ == "__main__":
						__UpperCamelCase     		=							argparse.ArgumentParser()
						parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
						__UpperCamelCase     		=							parser.parse_args()
						if args.check_lib:
												__UpperCamelCase     		=							importlib.import_module('transformers')
												__UpperCamelCase     		=							Path(transformers_module.__file__).parent
						else:
												__UpperCamelCase     		=							Path.cwd() / 'build/lib/transformers'
						if not test_custom_files_are_present(transformers_path):
												raise ValueError('The built release does not contain the custom files. Fix this before going further!')






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
						from .pipeline_kandinsky import KandinskyPipeline
						from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
						from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
						from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
						from .text_encoder import MultilingualCLIP


